2023 Accepted/Invited Annual Meeting abstracts

AAPM Annual Meeting (Houston, TX • July 23 ‒ 27, 2023)

1. Novel Functional Delta-Radiomics for Predicting Overall Survival in Lung Cancer Radiotherapy Using Cardiac FDG-PET Uptake
   Wookjin Choi, Yevgeniy Vinogradskiy
   Interactive ePoster Discussions: Sunday, July 23, 2023: 3:00 PM - 3:30 PM, GRBCC, Exhibit Hall | Forum 6
   SU-300-IePD-F6-4 Novel Functional Delta-Radiomics for Predicting Overall Survival in Lung Cancer Radiotherapy Using Cardiac FDG-PET Uptake

2. Deep Learning Segmentation for Accurate GTV and OAR Segmentation in MR-Guided Adaptive Radiotherapy for Pancreatic Cancer Patients
   Wookjin Choi, Hamidreza Nourzadeh, Yingxuan Chen, Christopher G. Ainsley, Vimal K. Desai, Alexander A. Kubli, Yevgeniy Vinogradskiy, Maria Werner-Wasik, Adam Mueller, and Karen E. Mooney
   PO-GePV-D-50 Deep Learning Segmentation for Accurate GTV and OAR Segmentation in MR-Guided Adaptive Radiotherapy for Pancreatic Cancer Patients

3. An MR-Conditional Motor for 1D Water Tank Measurements in an MR-Linac
   Karen E. Mooney, Sara A. Belko, Justin Williams, Andrew Gerry, Wookjin Choi, Maryellen Daley, and Robert S. Pugliese
   MO-345-IePD-F2-5 An MR-Conditional Motor for 1D Water Tank Measurements in an MR-Linac

4. Quantitative Assessment of Dosimetric Effect of Using Alternative Spinalcord Delineation in Treatment Planning As Functions of Delineations, Setup Uncertainty, and Planning Techniques Using an Alternative Truth Assessment Method
   Hashir Rashad, Abishek Karki, Jason Czak, Victor Gabriel Leandro Alves, Hamidreza Nourzadeh, Wookjin Choi, and Jeffrey V. Siebers
   MO-115-IePD-F5-6 Quantitative Assessment of Dosimetric Effect of Using Alternative Spinalcord Delineation in Treatment Planning As Functions of Delineations, Setup Uncertainty and Planning Techniques Using an Alternative Truth Assessment Method

ASTRO Annual Meeting (San Diego, CA • October 1 ‒ 4, 2023)

1. Novel Functional Radiomics for Prediction of Cardiac PET Avidity in Lung Cancer Radiotherapy
   Wookjin Choi, Yingcui Jia, Jennifer Kwak, Adam P. Dicker, Nicole L. Simone, Eugene Storozynsky, Varsha Jain, and Yevgeniy Vinogradskiy
   Quick Pitch Oral - QP 17b Phys 8: Outcome Prediction, October 3, 5:15PM-6:15PM
   https://pubmed.ncbi.nlm.nih.gov/37784390/

2. Novel Deep Learning Segmentation Models for Accurate GTV and OAR Segmentation in MR-guided Adaptive Radiotherapy for Pancreatic Cancer Patients
   Wookjin Choi, Hamidreza Nourzadeh, Yingxuan Chen, Christopher G. Ainsley, Vimal K. Desai, Alexander A. Kubli, Yevgeniy Vinogradskiy, Karen E. Mooney, Maria Werner-Wasik, and Adam Mueller
   Poster Viewing Q&A Session Time: Tuesday, October 3, 4:00 PM-5:00 PM
   https://pubmed.ncbi.nlm.nih.gov/37785478/

3. Deep-learning based auto-segmentation for liver Yttrium-90 selective internal radiation therapy
   Jun Li, Wookjin Choi, Pramila Rani Anne
   https://pubmed.ncbi.nlm.nih.gov/37786012/

ABS Annual Meeting (Vancouver, British Columbia, Canada • June 22 – 24, 2023)

1. Multi-Center Investigation Of Inter-observer Variability Of A Novel Mobile CBCT Ring For Gynecological Cancer HDR Brachytherapy
   F Mourtada, A Ali, W Choi, R Anne, W Pinover, B Erickson, A Klopp, D Petereit, D Gaffney, E Fields, J Chino, C Yashar, M Kamrava, M Kollmeier, R Taleei, S Wan, Y Vinogradskiy
   https://www.sciencedirect.com/science/article/pii/S1538472123014964

INFORMS Annual Meeting (Phoenix, AZ • October 15 ‒ 18, 2023)

1. Artificial Intelligence To Reduce Radiation-induced Cardiotoxicity In Lung Cancer Radiotherapy: A Novel Functional Radiomics Using Cardiac FDG-PET/CT
   Wookjin Choi, Adam Dicker, Yevgeniy Vinogradskiy
   Artificial Intelligence to Reduce Radiation-Induced Cardiotoxicity in Lung Cancer Radiotherapy: A Novel Functional Radiomics Using Cardiac FDG-PET/CT (abstractsonline.com)